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added todos in readme
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README.md

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@@ -21,3 +21,8 @@ There are plenty of other tutorials out there, but they all seem to have one of
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* Exercise: LSTM Language Modeling
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8. Advanced: Making Dynamic Decisions
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* Example: Bi-LSTM Conditional Random Field for named-entity recognition
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# To do:
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* Add decoding to the LSTM POS tagger example
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* Comment the Bi LSTM CRF example and provide more discussion
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* Write the LSTM LM exercise (I might change this: there are tons of LSTM LM examples out there...)

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